摘要
随着电力企业信息化的不断发展,海量数据的处理逐渐成为企业信息发展的重要瓶颈。通过增加硬件方式提升数据处理能力的传统方式存在投资成本大的缺点,并且过多的设备必然造成维护成本增加。数据库集群技术通过特定连接方式,将廉价设备结合起来,从而提高设备的并行处理能力,突破单一数据库性能瓶颈。文章提出一种基于任务分发策略的模型,通过对数据库处理任务进行分类,根据任务类型采取不同分发策略,从而使得数据库整体性能最优。
Massive data processing has become an important bottleneck in the development of information technology in power industry. The traditional way is to increase hardware to enhance data processing capability, the investment cost is large, and the increase of equipment will inevitably lead to high maintenance costs. Database Cluster technology combines inexpensive equipment in a specific way to improve parallel processing capability and breaks the performance bottleneck of a single database. This paper presents a model based on task-distribution strategy, which achieves the best overall performance of database through classifying data processing tasks and adopting corresponding distribution strategy.
出处
《电力信息与通信技术》
2015年第1期90-94,共5页
Electric Power Information and Communication Technology
